Millions of people search for things every day on craigslist: tickets, cars, garage sales, jobs, events, and so on.

This talk will look at the recent evolution of database and search architecture at Craigslist, including performance, caching, partitioning, and other tweaks. We’ll pay special attention to the unique challenges of doing this for a large data set that has an especially high churn rate (new posts, edits, and deletes).

And we strive to do this using as little hardware and power as possible.